Conference: Participant Support for COMBINE 2015 to be held in Salt Lake City, UT on October 12-16, 2015

数据交换标准对任何领域的发展都至关重要。它们使研究人员和从业人员能够可靠地交换信息，应用各种工具解决问题，并重现科学结果。 这是一个支持2015年10月在犹他湖城举行的关于该主题的研讨会的项目。该会议由生物学网络中的计算建模（联合收割机）组织，该网络创建于2010年，旨在组织系统生物学的标准化工作。 与会者费用的请求是为了使学生和初级科学家能够参加会议。 他们将学习到研究和工具标准化的重要性以及整个社区努力的影响方面的宝贵经验。 这一努力对于系统和合成生物学以及转化研究领域至关重要。会议将专门探讨生物学数据交换标准，使研究人员和从业人员能够可靠地交换信息，应用各种工具解决问题，并重现科学结果。讨论将集中在用于数学建模的系统生物学标记语言（SBML），用于描述途径的生物学途径交换语言（BioPaX），用于可视化表示的系统生物学图形符号（SBGN）以及用于描述生物学设计的合成生物学开放语言（SBOL）。虽然合成生物学数据交换有许多独特的要求，但也有许多重叠的目标，例如需要构建数学模型，描述途径和提供可视化表示。因此，加入这些努力是非常有益的，这样，合成生物学社区就可以利用现有的标准，实现工具和其他基础设施的共享。同样，其他社区也将受益于围绕数据交换和合成生物学独特的生命系统正向工程过程的新讨论。

Standards for data exchange are critical to the development of any field. They enable researchers and practitioners to exchange information reliably, apply a variety of tools to their problems, and reproduce scientific results. This is a project to support a workshop on this topic in October, 2015 to be held in Salt Lake City, Utah. The meeting is organized by the COmputational MOdeling in BIology NEtwork (COMBINE), which was created in 2010 to organize standardization efforts for systems biology. The request if for participant costs to enable students and junior scientist attend the meeting. They will learn will learn valuable lessons in the importance of research and tool standardization and the impact of a community-wide effort. This effort is essential for areas of systems and synthetic biology and translational research where to be seamless. The meetings will specifically explore data exchange standards for biology to enable researchers and practitioners to exchange information reliably, apply a variety of tools to their problems, and reproduce scientific results. The discussion will center, among others, on the systems biology markup language (SBML) for mathematical modeling, the biological pathways exchange language (BioPaX) for describing pathways, the systems biology graphical notation (SBGN) for visual representations, and the synthetic biology open language(SBOL) for describing biological designs. While synthetic biology data exchange has many unique requirements, there are also many overlapping goals such as the need to construct mathematical models, describe pathways, and provide visual representations. Therefore, it is highly beneficial to join these efforts, such that, the synthetic biology community can leverage existing standards enabling the sharing of tools and other infrastructure. Likewise, the other communities will benefit from renewed discussions around data exchange and synthetic biology's unique process of forward engineering living systems.